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Summary
Join Canonical as a Senior Manager for Marketing Analytics to execute on our growth hacking strategy and drive commercial outcomes through data and technology.
Requirements
An undergraduate or postgraduate degree in data science, statistics, mathematics, computer science, or engineering , or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years
A strong analytical mindset with solid evidence of managing projects that drive commercial success
Knowledge in advanced marketing analytics (media mix modelling, cohort analysis, attribution models ), coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
Exceptional management experience, leading analytical, creative professionals to excellence
Experience in selecting, implementing and managing a leading edge martech stack preferably built on open source software
A track record of building a culture of experimentation across the organisation
Advanced web analytics and SEO practices across website and SAAS products
Proven ability of collaborating with senior stakeholders across functions (sales, revenue operations, product, ISβ¦) to turn strategic business and product questions into impactful analytic projects
Responsibilities
Lead the growth engineering team, responsible for driving the best commercial results for Canonical through data and technology
Design, implement and operate Canonical marketing technology stack, a dozens of martech applications, from commercial applications (Marketo, Google Analytics, Leandata) to open source solutions (Superset, Kubeflow, WordPress)
Own reporting and analytics throughout the customer lifecycle from ABM, Multi-Touch Attribution, funnel performance, acquisition costs and customer retention
Develop and track OKRs and conversion rates across the marketing and revenue funnels
Optimise lead scoring, lead flow and cadences to increase conversion rates across marketing and sales
Develop web analytics and SEO practices to sustain high levels of organic user and customer acquisition
Drive Return On Ad Spend optimisation through attribution methodologies, advanced targeting and channel exploration
Ensure marketing data cleanliness and completeness through data governance policies and management practices
Champion an experimentation culture by supporting the business with processes, tooling (A/B tests, MAB) and expertise
Collaborate with teams across marketing and throughout Canonical (Product, IS, Engineering, RevOps, Finance) to build data solutions to Go To Market problems
Support execution excellence in the marketing team through training, tools and documentation
Benefits
Fully remote working environment
Personal learning and development budget of 2,000 USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at βsprintsβ
Priority Pass for travel and travel upgrades for long haul company events
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